[1]: Landsea, C. W. Mon. Weath. Rev. 121, 1703–1714 (1993) - https://journals.ametsoc.org/configurable/content/journals$0...
Part of aiming for objectivity, and better understanding, isn't worrying about which direction a correction takes. At all. Only that it is a good correction.
Our brains constantly make up distracting narratives, if we let them.
If the correction had been the other way, some people would say scientists have been downplaying data and probably still are.
I don't think you fully grasp the implications of arbitrarily correcting old measures. In the end, and accepting at face value these corrections, you're still manipulating old data to use the result of said manipulation as the whole basis of your hypothesis.
This approach automatically leads to questions on whether you draw your conclusions from the data, or you change the data to fit your conclusions.
Do you understand the risk that this poses in any discussion on a politically sensitive topic?
Think of the hit to the credibility of any claim supported by this data manipulation if later your method is deemed untrustworthy because it needs further updates, and how it would look if you had to correct it to move the dial either way (i.e., "they were lying from the start and are now covering their ass" vs "they felt their lie wasn't fooling anyone and decided to double down.")
Why do you say the correction is arbitrary? Are there papers arguing for corrections in the other direction?
Because it follows a method picked and chosen by the corrector.
> Are there papers arguing for corrections in the other direction?
It doesn't really matter if these corrections sway one way or the other. What matters is that someone decided that the original values weren't good, and proceeded to pick a way to come up with other values by changing the original ones.
http://johnsalvatier.org/blog/2017/reality-has-a-surprising-...
I think you could profit from reading it. And I found "The Golem" a pretty good read too, if you want to go down that path:
https://www.cambridge.org/ch/universitypress/subjects/genera...
But they are, aren't they? It matters nothing if you apply a precise rule to change values. What matters is that you picked a rule.
Correction is also not lying. Anyone who states that is not grasping something about a totally political topic/method.
Same nonsense gets you how terrible surgeons are (if cutting people with knives is bad, cutting people with knives is always bad).
It’s a good rhetorical technique because if you remove enough context you can pretty much always find something “exactly the same” to prove a point.
It's not reductionism, and you're missing the point.
The whole point is that changing the original data to be able to support/reject hypothesis naturally raises the question of whether there is foul play.
If original measurements don't support your claim and suddenly by changing data you get it to fit your belief, any rational analysis would quickly flag the risk of data manipulation and scientific malpractice.
If instead you're dealing with a politically charged topic that attracts denialists and contrarians then you're making yourself vulnerable to accusations of fraud that will certainly be used to poison the well.
Do you understand why this is a problem?
People are applying a stronger point here where changing the original data is hard evidence of foul play and sufficient to completely discount any changes.
We'd be grappling with the reality of faster than light neutrinos now, though, if that was correct logic.
Manipulating field measurements is already frowned upon in all applications. There is no point. Things like data provenance is a serious issue, which is directly targeted by peer reviews and investigations on scientific malpractice. Even performance benchmarks highly favor standardized test and data sets.
Being objective matters. Once you start messing with original measurements, you place yourself in a position where you need to answer questions on whether you're just adapting data to fit your belief instead of the other way around.
How do you know this? Do you understand the reasoning behind bias correction?
> Do you understand why this is a problem?
The problem is people do not understand bias correction and you are certainly not arguing on a methological level.
(Emphasis mine.)
That Guy!
No conspiracy needed. After all, the first time a hurricane was intentionally flown into by a storm was only in 1943: https://en.wikipedia.org/wiki/1943_Surprise_Hurricane. The 1950s and 1960s are not that far removed from that initial attempt.
> "...of the 197 TCs [tropical cyclones] that were classified as category 5 during the 42-y period 1980 to 2021, which comprises the period of highest quality and most consistent data, half of them occurred in the last 17 y of the period (12). Five of those storms exceeded our hypothetical category 6 and all of these occurred in the last 9 y of the record. The most intense of these hypothetical category 6 storms, Patricia, occurred in the Eastern Pacific making landfall in Jalisco, Mexico, as a category 4 storm. The remaining category 6 storms all occurred in the Western Pacific... Fig. 1A shows these 5 storms on the existing Hurricane Wind Scale and our proposed extension."
https://www.pnas.org/doi/full/10.1073/pnas.2308901121
Theoretically, increased wind speeds are linked to increased sea surface temperatures, a warmer deeper ocean mixed layer, and more moistore in the atmosphere. However, increased vertical wind shear tends to break up the hurricane's chimney structure, and that might also increase with warming. Hence, a complicated prediction - but if conditions are right, it seems reasonable to conclude that unusually strong hurricanes will become more likely, even if overall frequency is unchanged.
Not really, its not caused by warm water, its caused by DIFFERENCES in the temperature from the water and air, which is why we have actually seen fewer hurricanes over the last 20 years (ignoring post 2020 because this decade doesnt have a lot of data in) source: https://www.nhc.noaa.gov/pastdec.shtml
Its hard to decide when picking a particular category, so what I did was charted category 1s + 2* category 2 + 3 * category 3 ...
I think so too. One measure is the amount of insured losses from hurricanes. There's been an uptick in number of hurricanes and other weather events causing more then a billion dollars in insured losses- that's simply correlated with the increase in the value of insured assets.
Even if we assume that storms are not getting more intense, or climate is not changing, we cannot deny that we have more valuable assets to protect now. Which requires climate actions.
That being said, I think that you are overstating some of the limitations of public transportation. The NYC subway runs 24 hours, allows dogs, I have taken it while transporting 200 lbs of steel before, and it did not stop running during the George Floyd protests (including after curfew).
No it wouldn't. It is ideal to live in a state of progress where most "folks" can afford to own and operate a vehicle that allows them to go wherever they want whenever they want and take people with them.
2. Public transportation comes with its own set of risks. It is up to the individual to determine what they wish. Neither option is “progress” it is a trade off.
Arguing over the semantics of the word "progress" is missing the point. There are very real problems with building society to cater to individual private car ownership. Instead building society to cater to public transportation would address those issues. If you see a different way to address those issues than why not present it?
Am I to believe that there is one large, interconnected ocean, and that fluid naturally levels itself out, but that also, somehow, certain places experience sea level rise while others don't? Is it some huge coincidence that the places experiencing extreme sea level rise (e.g., Solomon Islands) are ephemeral and ever-changing volcanic islands and other volcanically active regions that sit upon a soft foundation of molten mantle?
Use your brain, my friend.
The data is the data and you need a lot more than "living on the beach" to refute it.
And yes, the sea level is different in different parts of the Earth. Why? Because forces are different in different parts of the Earth. Current (which impart forces) alone is enough to make a difference in sea level in two different parts of the Earth.
And yes, land changing elevation is colloquially part of sea level rise.
The problem with using your brain is it doesn't make you an expert in things, or able to refute expertise without actual knowledge. And simple observations do not amount to much knowledge on anything but the most simple subject.
4 inches is no joke for a small Florida beach town. It's not like California, where you have 80 foot cliffs and wide beaches. My favorite childhood beach spots would have been halved. Instead, they're exactly the same. 4 inches would have ruined much of our town's waterfront property.
Go look up pictures from Liberty Island, 1918. The water level is at the same brick as it is at high tide today.
Global warming is a false religion.
"The most obvious problem with the pics is that unless they were taken at the exact same point in a tidal cycle they say nothing about average sea level rise,". Raymo said that the old photo could have been taken near high tide and the recent photo could have been taken near low tide. We just don’t know.Ultimately, it doesn't matter. Without any disrespect intended, anybody, who thinks the ocean is meaningfully rising because of human activity, I'd rather not have living in my town; they're likely to vote to raise my taxes because the TV told them that if they give money to the government the weather will be gooder.
1. https://www.tideschart.com/United-States/New-York/New-York-C...
Satellites take millions of "photos" around the world every day, and combined with local measurements, we have a pretty accurate record of how the sea level around Manhattan has changed over the last century: https://sealevel.info/MSL_graph.php?id=8518750&c_date=1900/1...
Without any disrespect, perhaps you would think differently if you'd had a career in exploration geophysics for mineral resources and energy spanning a few decades as I have had.
I started out with continent wide surveying to peg old pre-GPS maps to WGS84 and have worked on mapping the global magnetic field, the geoid (mean 1G gravity surface), continent wide tidal models and radiometric references, etc.
It's clear enough that human activity is causing more heat energy to be trapped in the lower atmosphere and upper sea levels, the artic and antartic are slowly shrinking back .. and none of this is as yet readily perpectabe to the casual human eye - good instrumentation and records tell a different story, as was peer linked in a comment here.
I have little interest in convincing you, this is just a factual statement of my experience and yourself and your town can continue to believe whatever you collectively choose - it has zero impact on what is actually happening and what the next generations will have to deal with as a result of a century of excessive fossil fuel consumption.
Global warming does not affect every place on Earth evenly, that's partly why the phrase "climate change" is preferred. It's possible that you live in an area that due to the local or regional geography, the sea level has not changed much.
It's almost as if expressive abstractions are helpful for human understanding of large sets of numerical statistics, no?
The human population is four times larger than it was in the 1970's, so there's more things to hit are they are often built in more marginal locations.
Are you saying that locations of the hurricanes have not changed, it's merely that there are now people/structures there so it's now noticeable? Or that humans are altering storm paths based on structural changes to the environment?
I think it's more likely than not that tropical cyclones are getting more intense, and that they're hitting places that didn't typically get hit in the past, but I don't find this paper convincing. It really feels like they cajoled the data to fit their conclusion.
1. https://en.wikipedia.org/wiki/List_of_the_most_intense_tropi...
2. https://en.wikipedia.org/wiki/Typhoon_Tip
3. https://www.pnas.org/doi/full/10.1073/pnas.2308901121